A topology-aware pruning framework models layer representation evolution in LVLMs via simplicial complexes and zigzag persistent homology to enable adaptive removal of layers while outperforming existing methods on multimodal benchmarks.
In Proceedings of the IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR), pages 19383–19400
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Topology-Aware Layer Pruning for Large Vision-Language Models
A topology-aware pruning framework models layer representation evolution in LVLMs via simplicial complexes and zigzag persistent homology to enable adaptive removal of layers while outperforming existing methods on multimodal benchmarks.